class_docstr: The configuration for framework metrics to be collected for data loader profiling.
docstr: Convert the dataloader profiling config to a dictionary.
  
  Build off of the base metrics
  configuration dictionary to add the metrics regex.
  
  Returns:
      dict: The dataloader that profiles the configuration as a dictionary.
docstr_tok: ["Convert","the","dataloader","profiling","config","to","a","dictionary",".","Build","off","of","the","base","metrics","configuration","dictionary","to","add","the","metrics","regex",".","Returns",":","dict",":","The","dataloader","that","profiles","the","configuration","as","a","dictionary","."]
code: def _to_json(self):
      """Convert the dataloader profiling config to a dictionary.
  
      Build off of the base metrics
      configuration dictionary to add the metrics regex.
  
      Returns:
          dict: The dataloader that profiles the configuration as a dictionary.
  
      """
      dataloader_profiling_config = super()._to_json()
      dataloader_profiling_config["MetricsRegex"] = self.metrics_regex
      return dataloader_profiling_config
  
imports: from __future__ import absolute_import
  from sagemaker.debugger.profiler_constants import DATALOADER_PROFILING_CONFIG_NAME, DATALOADER_PROFILING_START_STEP_DEFAULT, DETAILED_PROFILING_CONFIG_NAME, DETAILED_PROFILING_START_STEP_DEFAULT, SMDATAPARALLEL_PROFILING_CONFIG_NAME, SMDATAPARALLEL_PROFILING_START_STEP_DEFAULT, HOROVOD_PROFILING_CONFIG_NAME, HOROVOD_PROFILING_START_STEP_DEFAULT, PROFILING_NUM_STEPS_DEFAULT, PYTHON_PROFILING_CONFIG_NAME, PYTHON_PROFILING_NUM_STEPS_DEFAULT, PYTHON_PROFILING_START_STEP_DEFAULT, START_STEP_DEFAULT
  from sagemaker.debugger.utils import convert_json_config_to_string, cProfileTimer, is_valid_regex, is_valid_unix_time, ErrorMessages, PythonProfiler
label_desc: Use image node_id 2 for calling the DataloaderProfilingConfig obj's underlying member method code with example usage: obj._to_json() and returns: dataloader_profiling_config